X-ray equipment

Abstract

To provide an X-ray imaging apparatus capable of suppressing an increase in an exposure dose resulting from re-capturing of an X-ray image due to an imaging failure by suppressing an occurrence of X-ray image capturing failures.SOLUTION: An X-ray imaging apparatus 100 includes: an X-ray irradiation unit 10 including an X-ray tube 11; a detector 30 for detecting an X-ray radiated from the X-ray irradiation unit; an image generation unit 50 for generating an X-ray image 63 based on the X-ray detected by the detector; an optical imaging unit 40 for capturing an image of a subject P and an optical image 64 in the direction of the detector from an X-ray irradiation unit side; a storage unit 60 for storing a learned model 62 for outputting discrimination information 65 for discriminating a state on an imaging range of a predetermined part of the subject or on a relative position for other parts for an input image 66 based on the optical image including the subject captured by the optical imaging unit; a control unit 70 for acquiring the discrimination information using the learned model; and a notification unit 80 for executing notification based on the discrimination information acquired by the control unit.SELECTED DRAWING: Figure 2

Description

[Technical Field]

[0001] The present invention relates to an X-ray imaging apparatus. [Background technology]

[0002] BACKGROUND ART Conventionally, an X-ray imaging apparatus that performs X-ray imaging on a subject is known (see, for example, Patent Document 1).

[0003] The above-mentioned Patent Document 1 discloses an X-ray imaging device including an X-ray irradiation unit that irradiates X-rays, an X-ray detector that detects X-rays, and an image processing unit that generates an X-ray image by processing an image made up of pixel values ​​of the X-rays detected by the X-ray detector. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Japanese Patent Publication No. 2020-195733 Summary of the Invention [Problem to be solved by the invention]

[0005] Although not disclosed in Patent Document 1, when X-raying a subject, it is required that a specific region (predilection region) where a lesion is likely to occur is clearly captured in the acquired X-ray image. Such specific region is particularly important in diagnosis. However, depending on the specific region, it is not easy to reliably include the specific region in the X-ray image. As a result, the specific region may not be included in the imaging range of the acquired X-ray image. Furthermore, when performing X-ray imaging, radiologists determine based on experience that the specific region does not overlap with other regions by checking the posture of the subject. Therefore, the accuracy of the overlap between the specific region and other regions depends on the radiologist's experience. As a result, an inexperienced radiologist may not adequately capture the specific region in the acquired X-ray image because the specific region overlaps with other regions. In such cases, the acquired X-ray image is deemed to be a failure (an image that cannot be used for diagnosis) and is re-taken. Therefore, it is desirable to reduce the occurrence of X-ray image failures and thereby reduce the increase in radiation exposure resulting from the need to re-take X-ray images due to the failure.

[0006] The present invention has been made to solve the above-mentioned problems, and one object of the present invention is to provide an X-ray imaging device that can suppress the occurrence of imaging errors in X-ray images, thereby suppressing an increase in the amount of radiation exposure that would result from retaking X-ray images due to imaging errors. [Means for solving the problem]

[0007] An X-ray imaging apparatus according to one aspect of the present invention includes an X-ray irradiation unit including an X-ray tube, a detector that detects X-rays irradiated from the X-ray irradiation unit, an image generation unit that generates an X-ray image based on the X-rays detected by the detector, an optical imaging unit that captures an optical image from the X-ray irradiation unit toward the subject and the detector, a memory unit that stores a trained model that outputs discrimination information for discriminating a state regarding an imaging range of a predetermined part of the subject or a relative position with respect to other parts, for an input image based on the optical image including the subject captured by the optical imaging unit, a control unit that acquires the discrimination information using the trained model, and a notification unit that issues a notification based on the discrimination information acquired by the control unit. The control unit is configured to acquire discrimination information output from the trained model that discriminates the state of the imaging range of the apex of the lung of the subject, discrimination information that discriminates the state of the relative position of the apex of the lung of the subject with respect to the clavicle, discrimination information that discriminates the state of the relative position of the lung field of the subject with respect to the scapula, or discrimination information that discriminates the state of internal rotation of the arm of the subject, which is an index of the degree of overlap between the lung field of the subject and the scapula. Here, the term "optical image" refers to an image obtained by optically detecting visible light reflected from a subject. [Effects of the Invention]

[0008] In one aspect of the present invention, the X-ray imaging device uses a trained model to acquire discrimination information for an input image based on an optical image including a subject captured by an optical imaging unit, and outputs discrimination information for discriminating between the imaging range of a predetermined part of the subject and its relative position relative to other parts. By inputting the input image based on the optical image into the trained model and acquiring an output result, it is possible to determine whether the predetermined part of the subject is included in the imaging range of the X-ray image without checking an X-ray image actually captured by irradiating X-rays. Furthermore, by acquiring the output result, it is possible to determine whether the predetermined part of the subject is sufficiently captured in the X-ray image by preventing it from overlapping with other parts, without checking an X-ray image actually captured by irradiating X-rays and without relying on the experience of a radiologist. This reduces the occurrence of X-ray image errors. As a result, by reducing the occurrence of X-ray image errors, it is possible to reduce an increase in radiation exposure resulting from the need to retake X-ray images due to imaging errors. [Brief explanation of the drawings]

[0009] [Figure 1]1 is a schematic diagram showing the overall configuration of an X-ray imaging apparatus according to an embodiment. [Figure 2] 1 is a block diagram of an X-ray imaging apparatus according to an embodiment. [Figure 3] FIG. 10 is a diagram illustrating a first example of discrimination information acquisition processing according to an embodiment. [Figure 4] FIG. 1 illustrates a method for creating a first example training dataset according to one embodiment. [Figure 5] FIG. 10 is a diagram illustrating a second example of discrimination information acquisition processing according to an embodiment. [Figure 6] FIG. 10 illustrates a second example method for creating a training dataset according to one embodiment. [Figure 7] FIG. 10 is a diagram illustrating a third example of discrimination information acquisition processing according to an embodiment. [Figure 8] FIG. 10 illustrates a method for creating a training dataset in a third example according to one embodiment. [Figure 9] 10 is a flowchart illustrating a process of acquiring discrimination information according to an embodiment. [Figure 10] FIG. 10 is a diagram illustrating a method for creating a training dataset according to Modification 1. [Figure 11] FIG. 10 is a diagram illustrating a method for creating a training dataset according to Modification 2. DETAILED DESCRIPTION OF THE INVENTION

[0010] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, specific embodiments of the present invention will be described with reference to the accompanying drawings.

[0011] The configuration of an X-ray imaging apparatus 100 according to an embodiment will be described with reference to FIG.

[0012] (Configuration of X-ray imaging device 100) As shown in Figures 1 and 2, the X-ray imaging device 100 includes an X-ray irradiation unit 10, a moving mechanism 20, a detector 30, an optical imaging unit 40, an image generation unit 50 (see Figure 2), a memory unit 60 (see Figure 2), a control unit 70 (see Figure 2), and an alarm unit 80 (see Figure 2).

[0013] The X-ray irradiation unit 10 includes an X-ray tube 11, a collimator 12, and a collimator lamp 13. The X-ray tube 11 is configured to irradiate the subject P with X-rays. The collimator 12 is configured to adjust an irradiation field 14 (see FIG. 4) of the X-rays irradiated from the X-ray tube 11. The collimator 12 is provided near the X-ray tube 11 in the X-ray irradiation direction of the X-ray tube 11. The collimator 12 is provided with a collimator lamp 13. The collimator lamp 13 includes a light source of visible light. The visible light irradiated from the collimator lamp 13 makes it possible to check the X-ray irradiation field 14 without using X-rays.

[0014] The moving mechanism 20 is configured to movably hold the X-ray irradiation unit 10. The moving mechanism 20 includes a ceiling suspension unit 22 and a support unit 23. The moving mechanism 20 is supported by rails 21 provided on the ceiling of the radiography room. The ceiling suspension unit 22 is configured to be movable in the horizontal direction by the rails 21. The ceiling suspension unit 22 is configured to support the support unit 23. The support unit 23 is configured to support the X-ray irradiation unit 10. The support unit 23 is configured to be extendable and retractable in the vertical direction. The X-ray irradiation unit 10 is configured to be movable in the vertical direction by the support unit 23.

[0015] The detector 30 is configured to detect X-rays irradiated from the X-ray irradiator 10. The detector 30 includes, for example, an FPD (Flat Panel Detector). The detector 30 is provided on an imaging stand 31 for imaging a subject P in an upright position (standing position). During X-ray imaging, the X-ray irradiator 10 is placed at a position horizontally facing the detector 30 on the imaging stand 31. The X-ray imaging device 100 images the subject P standing in front of the imaging stand 31 between the X-ray tube 11 and the detector 30, which are horizontally facing each other.

[0016] The optical imaging unit 40 is configured to capture an optical image 64 (see FIG. 2). The optical imaging unit 40 includes an optical camera. The optical imaging unit 40 is attached to the collimator 12. The optical imaging unit 40 is attached facing the direction of X-ray irradiation from the X-ray irradiator 10. When the X-ray irradiator 10 faces the subject P and the detector 30, the optical imaging unit 40 can capture an optical image 64 in the direction of the subject P and the detector 30 from the X-ray irradiator 10 side. The optical image 64 captured by the optical imaging unit 40 is an image captured from approximately the same direction as the imaging direction of the X-ray image 63 (see FIG. 2). The optical imaging unit 40 constantly captures the subject P when capturing the X-ray image 63. The imaging range of the optical imaging unit 40 is set to include the range of the X-ray irradiation field 14 (see FIG. 4) and to be larger than the range of the X-ray irradiation field 14.

[0017] 2, the image generating unit 50 is configured to generate an X-ray image 63 based on the X-rays detected by the detector 30. The image generating unit 50 includes, for example, a CPU (Central Processing Unit), an FPGA (Field-Programmable Gate Array), and the like.

[0018] The storage unit 60 stores various programs 61 executed by the control unit 70. The storage unit 60 also stores trained models 62, which will be described later. The trained models 62 include trained models 62a (see FIG. 3), trained models 62b (see FIG. 5), and trained models 62c (see FIG. 7), which will be described in detail later. The storage unit 60 includes a non-volatile storage device such as an HDD (Hard Disk Drive) or an SSD (Solid State Drive). The storage unit 60 is also configured to store an X-ray image 63 generated by the image generation unit 50 and an optical image 64 captured by the optical imaging unit 40.

[0019] The control unit 70 is configured to use the trained model 62 to acquire discrimination information 65 (discrimination information 65a (see FIG. 3), discrimination information 65b (see FIG. 5), discrimination information 65c (see FIG. 7)) that discriminates the state of a predetermined part of the subject P regarding the imaging range or the relative position with respect to other parts. The control unit 70 is also configured to control the notification unit 80 to issue a notification based on the discrimination information 65. The control unit 70 is also configured to generate an extracted image 67 for inputting the trained model (see FIG. 3) and an estimated image 68 for inputting the trained model (see FIG. 6). The control unit 70 includes a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM (Random Access Memory), a GPU (Graphics Processing Unit), or an FPGA (Field-Programmable Gate Array) configured for image processing.

[0020] The notification unit 80 is configured to issue a notification based on the discrimination information 65 under the control of the control unit 70. The notification unit 80 includes a display unit 81 that displays information based on the discrimination information 65 acquired by the control unit 70. The display unit 81 is, for example, a liquid crystal display device.

[0021] (Acquisition of discrimination information for discriminating the state of the imaging range of the subject's lung apex) Here, in X-ray photography of subject P, it is required that a predetermined region of subject P is clearly photographed in the acquired X-ray image 63. For example, in chest X-ray photography, it is required that the lung field is clearly photographed in the acquired X-ray image. The apex of the lung, which is the upper end of the lung (lung field), is an example of a predetermined region, and is a region where pulmonary tuberculosis is likely to occur. Therefore, the apex of the lung is particularly important in diagnosis. Therefore, it is necessary that the apex of the lung is clearly photographed in the acquired X-ray image.

[0022] Typically, the imaging region (X-ray field 14) of a chest X-ray image 63 is confirmed using a collimator lamp 13 mounted on a collimator 12. However, since it is not easy to reliably include the apex of the lung in the X-ray image 63, there are cases where the apex of the lung is not sufficiently captured in the acquired X-ray image 63. In this case, the acquired X-ray image 63 is determined to be an error and is re-captured. Therefore, it is necessary to prevent the occurrence of errors in the acquired X-ray image 63.

[0023] 3 as Example 1, the control unit 70 is configured to use the trained model 62a to acquire discrimination information 65a for discriminating the state of the imaging range of the apical lung of the subject P as a predetermined part, indicating whether or not the apical lung of the subject P is included in the region of the X-ray irradiation field 14 based on the light irradiated from the collimator lamp 13 in the input image 66. Specifically, the control unit 70 generates an extracted image 67 for inputting the trained model in which the contour 95 of the subject P and the X-ray irradiation field 14 included in the optical image 64 captured by the optical imaging unit 40 are extracted. The control unit 70 is then configured to input the extracted image 67 for inputting the trained model, which is the input image 66, to the trained model 62a and acquire discrimination information 65a for discriminating the state of the imaging range of the apical lung of the subject P as an output result.

[0024] (Method for creating a trained model that outputs discrimination information that determines the state of the imaging range of the subject's apex lung) Next, a method for creating the trained model 62a will be described. The trained model 62a is created by a computer (not shown). The computer is a so-called personal computer, and includes a processor and a storage unit. The computer can communicate with the X-ray imaging apparatus 100 via a network.

[0025] 4 as Example 1, a plurality of image sets 93a are acquired, each including an X-ray image 63 of a subject and an optical image 64 of the subject captured by an optical camera at the same time, of the same subject, and from approximately the same direction as the X-ray image 63. The X-ray image 63 and the optical image 64 are images taken at the same time. The image set 93 of the X-ray image 63 and the optical image 64 may be acquired by the X-ray imaging apparatus 100 according to this embodiment, or may be acquired by another X-ray imaging apparatus 100.

[0026] It is determined whether or not the apex P1 is included in the X-ray image 63 of the image set 93a. The determination of whether or not the apex P1 is included in the X-ray image 63 may be made visually by a doctor or by using a known image recognition technique. The result of the determination of whether or not the X-ray image 63 includes the apex P1 is obtained as a label 94a, either "apex present" or "apex absent."

[0027] In a conventional approach to reducing imaging failures, statistical analysis is performed on the protocols (procedures) that have caused imaging failures in the past, the causes of the failures, the incidence rate, etc., and an administrator analyzes the results and provides guidance to radiologists to reduce the incidence rate of imaging failures. Specifically, when an imaging failure (imaging failure) is confirmed, the image with the imaging failure is set as an imaging failure image (imaging failure designation), and the reason (imaging failure reason) is input by an input unit (not shown) of the X-ray imaging device 100. The imaging failure image (not shown) linked to the imaging failure reason is stored in the storage unit 60 (see FIG. 2).

[0028] Therefore, for example, a failed image stored in the storage unit 60 (see FIG. 2) and associated with a failure reason of "not including the apex of the lung" may be used as the X-ray image 63 of "no apex of the lung" in the image set 93a. This makes it possible to easily obtain the X-ray image 63 of "no apex of the lung."

[0029] The optical image 64 of the image set 93a is subjected to processing to extract the contour 95 of the subject's upper body and the irradiation range of visible light (X-ray irradiation field 14) of the collimator lamp 13. The extraction of the contour 95 of the subject's upper body and the irradiation range of the collimator lamp 13 is performed using known human body posture analysis and image recognition techniques. The extraction processing of the optical image 64 generates an extracted image 91 for creating a trained model in which the contour 95 of the subject's upper body and the frame of the X-ray irradiation field 14 are extracted. In the extracted image 91 for creating a trained model, the X-ray irradiation field 14 at the contour 95 of the subject's upper body is shown as a rectangle.

[0030] As a result of the above, a training data set 90a is created, which includes the generated extracted image 91 for creating a trained model and a label 94a of the judgment result of the X-ray image 63. Multiple training data sets 90a are created. A trained model 62a (see FIG. 3) is created by performing machine learning using the multiple training data sets 90a created as training data. Any machine learning method can be used for the trained model 62a, such as a full-layer convolutional neural network (FCN), a neural network, a support vector machine (SVM), or boosting.

[0031] As shown in Fig. 3, the trained model 62a is stored in the storage unit 60 (see Fig. 2). The trained model 62a receives an input image 66 based on an optical image 64 captured by the optical imaging unit 40, and outputs discrimination information 65a of the subject P (see Fig. 1) in the input image 66. The output discrimination information 65a is information indicating whether the apex of the lung of the subject P is included in the region of the X-ray irradiation field 14 based on the light irradiated from the collimator lamp 13 in the input image 66.

[0032] (Acquisition of discrimination information for discriminating the state of the relative position of the subject's lung apex with respect to the clavicle) Furthermore, in order for the apex of the lung, as an example of a predetermined region, to be clearly captured in the acquired X-ray image 63, it is necessary that the clavicle does not overlap the apex of the lung. When taking an X-ray, a radiologist determines based on experience that the clavicle does not overlap the apex of the lung by checking the shoulder line 97 of the subject P. However, since the accuracy of the overlap of the apex of the lung and the clavicle depends on the experience of the radiologist, there are cases in which the apex of the lung is not sufficiently captured in the acquired X-ray image 63 because the clavicle overlaps the apex of the lung. In this case, the acquired X-ray image 63 is determined to be an error and is re-captured. Therefore, it is necessary to prevent the occurrence of errors in the acquired X-ray image 63.

[0033] 5 as Example 2, the control unit 70 is configured to use the trained model 62b to acquire discrimination information 65b that determines the state of the relative position of the apex of the lung, which is a predetermined part of the subject P, with respect to the clavicle, which is another part, and indicates whether the apex of the lung and the clavicle of the subject P overlap in the input image 66. Below, differences from the acquisition of the discrimination information 65a described above will be described.

[0034] Specifically, the control unit 70 generates an estimated image 68 for inputting a trained model in which a shoulder line 97 (see FIG. 6) of the subject P included in the optical image 64 captured by the optical imaging unit 40 is estimated. The control unit 70 is then configured to input the estimated image 68 for inputting a trained model, which is an input image 66, to the trained model 62b, and acquire discrimination information 65b, which is an output result, for discriminating the state of the relative position of the apex of the lung of the subject P with respect to the clavicle.

[0035] (Method for creating a trained model that outputs discriminant information that distinguishes the relative position of the subject's lung apex relative to the clavicle) As shown in Example 2 in Figure 6, similar to the method for creating the trained model 62a described above, multiple image sets 93b including X-ray images 63 and optical images 64 are acquired. Whether or not the apex P1 of the lung and the clavicle P2 overlap is determined for each X-ray image 63 in the image set 93b. The determination result of whether or not the apex P1 of the lung and the clavicle P2 overlap in the X-ray image 63 is acquired as a label 94b, either "the apex of the lung does not overlap with the clavicle" or "the apex of the lung and the clavicle overlap."

[0036] A process of estimating the shoulder line 97 of the subject is performed on the optical image 64 of the image set 93b. The shoulder line 97 of the subject is estimated by using known human body posture analysis and image recognition techniques. The estimation process on the optical image 64 generates an estimated image 92 for creating a trained model in which a center line 96 based on the spine of the subject and a shoulder line 97 are estimated. The estimated image 92 for creating a trained model shows the center line 96 based on the spine of the subject P and the shoulder line 97.

[0037] As a result of the above, a training data set 90b is created that includes the generated estimated image 92 for creating a trained model and a label 94b of the determination result of the X-ray image 63. The trained model 62b (see FIG. 5) is created by performing machine learning using the created multiple training data sets 90b as training data. The created trained model 62b is stored in the storage unit 60. The trained model 62b receives an input image 66 based on an optical image 64 captured by the optical imaging unit 40, and outputs discrimination information 65b of the subject P in the input image 66. The output discrimination information 65b is information indicating whether the apex of the lung and the clavicle of the subject P overlap in the input image 66.

[0038] (Acquisition of discrimination information for discriminating the state of the relative position of the subject's lung field with respect to the scapula) Furthermore, in order for the lung field, as an example of a predetermined region, to be clearly captured in the acquired X-ray image 63, it is necessary that the scapula does not overlap the lung field. During X-ray imaging, radiologists determine based on experience that the scapula does not overlap the lung field by checking the internal rotation of the subject P's arm. Here, "internal rotation" refers to the movement of rotating the upper arm or thigh toward the inside of the body without changing its position. However, because the accuracy of the overlap between the lung field and the scapula depends on the radiologist's experience, there are cases in which the lung field is not fully captured in the acquired X-ray image 63 due to the scapula overlapping the lung field. In this case, the acquired X-ray image 63 is determined to be an error and is re-captured. Therefore, it is necessary to prevent the occurrence of errors in the acquired X-ray image 63.

[0039] 7 as Example 3, the control unit 70 is configured to use the trained model 62c to acquire discrimination information 65c that indicates whether the lung fields and scapulae of the subject P overlap in the input image 66 and that discriminates the state of the relative position of the lung fields, which are predetermined parts of the subject P, with respect to the scapulae, which are other parts. Below, differences from the acquisition of the discrimination information 65a described above will be described.

[0040] Specifically, the control unit 70 is configured to input an optical image 64 captured by the optical imaging unit 40, which is an input image 66, to the trained model 62c, and to obtain discrimination information 65c, which is the output result, for discriminating the state of the relative position of the lung field of the subject P with respect to the scapula.

[0041] (Method for creating a trained model that outputs discrimination information that determines the relative position of a subject's lung fields with respect to their scapulae) 8 as Example 3, a plurality of image sets 93c including X-ray images 63 and optical images 64 are acquired. Whether or not the lung field P3 and the scapula P4 overlap is determined for each X-ray image 63 in image set 93. The determination result of whether or not the lung field P3 and the scapula P4 overlap in the X-ray image 63 is acquired as a label 94c of either "no scapula" or "scapula present."

[0042] Unlike the creation of the trained model 62a described above, the creation of the trained model 62c does not involve generating extracted images based on the optical images 64 of the image set 93c. As a result, a training data set 90c including the optical images 64 and labels 94c of the determination results of the X-ray images 63 is created. The trained model 62c is created by performing machine learning using the created multiple training data sets 90c as training data. The created trained model 62c is stored in the storage unit 60. The trained model 62c receives an input image 66, which is an optical image 64 captured by the optical imaging unit 40, and outputs discrimination information 65c of the subject P in the input image 66. The output discrimination information 65c is information indicating whether the lung fields and scapula of the subject P overlap in the input image 66.

[0043] (Function blocks of the control unit 70) 2, functional blocks included in the control unit 70 will be described. The control unit 70 is configured by hardware such as a CPU and includes, as functional blocks of software (program 61), an image processing unit 71, a discrimination information acquisition unit 72, and a notification control unit 73. The control unit 70 functions as the image processing unit 71, the discrimination information acquisition unit 72, and the notification control unit 73 by executing the program 61 stored in the storage unit 60. The image processing unit 71, the discrimination information acquisition unit 72, and the notification control unit 73 may be configured individually by hardware using dedicated processors (processing circuits).

[0044] The image processing unit 71 is configured to generate an extracted image 67 for inputting a trained model, in which a contour 95 of the subject P (see FIG. 1) included in the optical image 64 captured by the optical imaging unit 40 and the irradiation range (X-ray irradiation field 14) of visible light from the collimator lamp 13 are extracted. The image processing by the image processing unit 71 is performed in the same manner as the image processing in the method for creating the trained model 62a described above, and therefore a description thereof will be omitted. The image processing unit 71 generates an extracted image 67 for inputting a trained model, in which the X-ray irradiation field 14 on the contour 95 of the upper body of the subject P is shown in a rectangular shape, similar to the extracted image 91 for creating a trained model (see FIG. 4). The extracted image 67 for inputting a trained model generated by the image processing unit 71 becomes the input image 66 (see FIG. 3) to be input to the trained model 62a.

[0045] The image processing unit 71 is also configured to generate an estimated image 68 for inputting a trained model (see FIG. 5) in which a shoulder line 97 of the subject P included in the optical image 64 captured by the optical imaging unit 40 is estimated. The image processing unit 71 generates the estimated image 68 for inputting a trained model, in which a center line 96 based on the spine of the subject P and the shoulder line 97 are indicated by dashed lines, similar to the estimated image 92b for creating a trained model (see FIG. 6). The estimated image 68 for inputting a trained model generated by the image processing unit 71 becomes the input image 66 (see FIG. 5) to be input to the trained model 62b.

[0046] As shown in FIG. 3, the discrimination information acquisition unit 72 is configured to use the trained model 62a to input the extracted image 67 for inputting the trained model generated by the image processing unit 71 as an input image 66, and acquire discrimination information 65a of the subject P as an output result. Also, as shown in FIG. 5, the discrimination information acquisition unit 72 is configured to use the trained model 62b to input the estimated image 68 for inputting the trained model generated by the image processing unit 71 as an input image 66, and acquire discrimination information 65b of the subject P as an output result. Also, as shown in FIG. 7, the discrimination information acquisition unit 72 is configured to use the trained model 62c to input the optical image 64 captured by the optical imaging unit 40 as an input image 66, and acquire discrimination information 65c of the subject P as an output result.

[0047] 2, the notification control unit 73 is configured to cause the notification unit 80 to issue a notification based on the discrimination information 65a of the subject P, which is the acquired output result. When the discrimination information 65a of the subject P is "apical lung present," the notification control unit 73 is configured to, for example, cause the display unit 81 of the notification unit 80 to display text that reads "apical lung present." When the discrimination information 65a of the subject P is "apical lung absent," the notification control unit 73 is configured to, for example, cause the display unit 81 of the notification unit 80 to display text that reads "apical lung absent."

[0048] The notification control unit 73 is also configured to cause the notification unit 80 to issue a notification based on the discrimination information 65b of the subject P, which is the acquired output result. When the discrimination information 65b of the subject P is "no overlap between the apex of the lung and the collarbone," the notification control unit 73 is configured to cause the display unit 81 of the notification unit 80 to display, for example, text that reads "no overlap between the apex of the lung and the collarbone." When the discrimination information 65b of the subject P is "some overlap between the apex of the lung and the collarbone," the notification control unit 73 is configured to cause the display unit 81 of the notification unit 80 to display, for example, text that reads "some overlap between the apex of the lung and the collarbone."

[0049] The notification control unit 73 is also configured to cause the notification unit 80 to issue a notification based on the discrimination information 65c of the subject P, which is the acquired output result. When the discrimination information 65c of the subject P is "no shoulder blades," the notification control unit 73 is configured to, for example, cause the display unit 81 of the notification unit 80 to display text that reads "no shoulder blades." When the discrimination information 65c of the subject P is "shoulder blades present," the notification control unit 73 is configured to, for example, cause the display unit 81 of the notification unit 80 to display text that reads "shoulder blades present."

[0050] The notification control unit 73 may be configured to cause the notification unit 80 to output the above content by voice. Furthermore, the notification control unit 73 may cause the display unit 81 of the notification unit 80 to display text that reads "photography possible" when the discrimination information 65a of the subject P is "apex of lung present," the discrimination information 65b of the subject P is "no overlap between apex of lung and clavicle," and the discrimination information 65c of the subject P is "no scapula."

[0051] (Discrimination information acquisition process) The process of acquiring the discrimination information 65a to 65c according to this embodiment will be described with reference to Fig. 9. The process of acquiring the discrimination information 65a to 65c described below is executed by a control unit 70 including a CPU and the like as hardware.

[0052] In step S1, the image processing unit 71 (control unit 70) acquires the optical image 64 captured by the optical imaging unit 40. After that, the process proceeds to step S2.

[0053] In step S2, the image processing unit 71 (control unit 70) generates an extracted image for inputting a trained model 67 and an estimated image for inputting a trained model 68 based on the acquired optical image 64. Thereafter, the process proceeds to step S3.

[0054] In step S3, the discrimination information acquisition unit 72 (control unit 70) uses the trained model 62a to input the extracted image 67 for inputting the trained model generated by the image processing unit 71 as the input image 66, and acquires discrimination information 65a, which is the output result. Furthermore, the discrimination information acquisition unit 72 (control unit 70) uses the trained model 62b to input the estimated image 68 for inputting the trained model generated by the image processing unit 71 as the input image 66, and acquires discrimination information 65b, which is the output result. Furthermore, the discrimination information acquisition unit 72 (control unit 70) uses the trained model 62c to input the optical image 64 captured by the optical imaging unit 40 as the input image 66, and acquires discrimination information 65c, which is the output result. Then, the process proceeds to step S4.

[0055] In step S4, the notification control unit 73 causes the notification unit 80 to notify information based on the acquired output results, ie, the discrimination information 65a to 65c of the subject P. Thereafter, the process proceeds to step S5.

[0056] In step S5, if the control unit 70 detects that the radiologist has finished taking the X-ray image 63 (Yes in step S4), the processing ends, and if the control unit 70 has not detected that the radiologist has finished taking the X-ray image 63 (No in step S5), the processing proceeds to step S1.

[0057] By the notification unit 80 notifying the radiological technician of information based on the discrimination information 65a to 65c of the subject P, if the discrimination information 65a to 65c determines that the imaging range of the predetermined part of the subject P or the state of the relative position to other parts is appropriate, the radiological technician can irradiate X-rays and capture the X-ray image 63, and if the discrimination information 65a to 65c determines that the imaging range of the predetermined part of the subject P or the state of the relative position to other parts is inappropriate, the radiological technician can change the posture of the subject P without irradiating X-rays. As a result, the occurrence of imaging errors in the X-ray image 63 can be more appropriately suppressed.

[0058] (Effects of this embodiment) In this embodiment, the following effects can be obtained.

[0059] In this embodiment, as described above, the X-ray imaging apparatus 100 includes an X-ray irradiation unit 10 including an X-ray tube 11, a detector 30 that detects X-rays irradiated from the X-ray irradiation unit 10, an image generation unit 50 that generates an X-ray image 63 based on the X-rays detected by the detector 30, an optical imaging unit 40 that captures an optical image 64 from the X-ray irradiation unit 10 side in the direction of the subject P and the detector 30, a memory unit 60 that stores trained models 62a to 62c that output discrimination information 65a to 65c that discriminates the imaging range of a specified part of the subject P or the state regarding its relative position relative to other parts for an input image 66 based on the optical image 64 including the subject P captured by the optical imaging unit 40, a discrimination information acquisition unit 72 that acquires the discrimination information 65a to 65c using the trained models 62a to 62c, and an alarm unit 80 that issues an alarm based on the discrimination information 65a to 65c acquired by the discrimination information acquisition unit 72. By inputting an input image 66 based on an optical image 64 into trained models 62a to 62c and obtaining an output result, it is possible to determine whether a predetermined region of subject P is included in the imaging range of the X-ray image without checking an X-ray image 63 actually taken by irradiating X-rays. Furthermore, by obtaining the output result, it is possible to determine whether a predetermined region of subject P is sufficiently captured in the X-ray image by preventing it from overlapping with other regions, without checking an X-ray image actually taken by irradiating X-rays and without relying on the experience of a radiologist. This makes it possible to prevent the occurrence of imaging errors in the X-ray image 63. As a result, by preventing the occurrence of imaging errors in the X-ray image 63, it is possible to prevent an increase in radiation exposure resulting from retaking the X-ray image 63 due to imaging errors.

[0060] Furthermore, in this embodiment, as described above, the trained models 62a-62c are configured to receive the input image 66 based on the optical image 64 captured by the optical imaging unit 40 from approximately the same direction as the imaging direction of the X-ray image 63, and to output discrimination information 65a-65c of the subject P in the input image 66, and the discrimination information acquisition unit 72 is configured to acquire the discrimination information 65a-65c in the input image 66 using the trained models 62a-62c before X-ray irradiation to acquire the X-ray image 63. As a result, by inputting the input image 66 based on the optical image 64 captured by the optical imaging unit 40 from approximately the same direction as the imaging direction of the X-ray image 63 to the trained models 62a-62c and acquiring the output result, it is possible to determine whether the imaging range of a predetermined part of the subject P and its relative position with respect to other parts are appropriate before X-ray irradiation to acquire the X-ray image 63. This further reduces the occurrence of imaging errors in the X-ray image 63. As a result, by further reducing the occurrence of imaging errors in the X-ray image 63, it is possible to reduce an increase in the amount of radiation exposure that would otherwise be caused by retaking the X-ray image 63 due to imaging errors.

[0061] Furthermore, in the present embodiment, as described above, the discrimination information acquisition unit 72 is configured to acquire discrimination information 65a output from the trained model 62a for discriminating the state of the imaging range of the apex of the lung of the subject P, discrimination information 65b output from the trained model 62b for discriminating the state of the relative position of the apex of the lung of the subject P with respect to the clavicle, or discrimination information 65c output from the trained model 62c for discriminating the state of the relative position of the scapula of the subject P with respect to the lung field. This allows the radiologist to capture the X-ray image 63 based on the acquired discrimination information 65a to 65c. As a result, it is possible to prevent the apex of the lung or the lung field from being insufficiently captured in the acquired X-ray image 63, thereby accurately and appropriately preventing the occurrence of imaging errors in the X-ray image 63.

[0062] Furthermore, in this embodiment, as described above, the X-ray irradiation unit 10 includes the collimator 12 that defines the X-ray irradiation field 14 and the collimator lamp 13 that makes the X-ray irradiation field 14 visible, and the discrimination information acquisition unit 72 is configured to acquire, using the trained model 62a, discrimination information 65a that indicates whether the apical part of the lung of the subject P is included in the region of the X-ray irradiation field 14 based on the light irradiated from the collimator lamp 13 in the input image 66, and that discriminates the state of the imaging range of the apical part of the lung of the subject P as a predetermined part of the subject P. This makes it possible to acquire discrimination information 65a that indicates whether the apical part of the lung of the subject P is included in the region of the X-ray irradiation field 14 based on the light irradiated from the collimator lamp 13 in the input image 66. Therefore, when the discrimination information 65a determines that the apical part of the lung of the subject P is included, the radiologist can irradiate X-rays and capture the X-ray image 63, and when the discrimination information 65a determines that the apical part of the lung of the subject P is not included, the radiologist can move the subject P without irradiating X-rays or move the positions of the X-ray irradiator 10 and the detector 30. As a result, the occurrence of imaging errors in the X-ray image 63 can be more appropriately suppressed.

[0063] Furthermore, in this embodiment, as described above, the discrimination information acquisition unit 72 is configured to generate an extracted image for inputting a trained model 67 in which the contour 95 and X-ray irradiation field 14 of the subject P contained in the optical image 64 captured by the optical imaging unit 40 are extracted, input the extracted image for inputting a trained model 67 as the input image 66 to the trained model 62a, and acquire discrimination information 65a of the subject P as the output result. As a result, the trained model 62a uses the extracted image for inputting a trained model 67 in which the contour 95 and X-ray irradiation field 14 of the subject P are extracted as the input image 66, and therefore the accuracy of the discrimination information 65a as the output result can be improved compared to when the optical image 64 captured by the optical imaging unit 40 is used as the input image 66.

[0064] Furthermore, in this embodiment, as described above, the discrimination information acquisition unit 72 is configured to acquire, using the trained model 62b, discrimination information 65b that discriminates the state of the relative position of the apex of the lung, which is a predetermined part of the subject P, with respect to the clavicle, which is another part, and indicates whether the apex of the lung and the clavicle of the subject P overlap in the input image 66. This makes it possible to acquire the discrimination information 65b that indicates whether the apex of the lung and the clavicle of the subject P overlap in the input image 66. Therefore, if the discrimination information 65b determines that the apex of the lung and the clavicle of the subject P do not overlap, the radiologist can irradiate X-rays and capture the X-ray image 63, and if the discrimination information 65b determines that the apex of the lung and the clavicle of the subject P overlap, the radiologist can change the posture of the subject P without irradiating X-rays. As a result, it is possible to more appropriately prevent the occurrence of imaging errors in the X-ray image 63 and an increase in the radiation exposure due to re-imaging.

[0065] Furthermore, in this embodiment, as described above, the discrimination information acquisition unit 72 is configured to generate an estimated image 68 for input to a trained model in which the shoulder line 97 of the subject P included in the optical image 64 captured by the optical imaging unit 40 is estimated, input the estimated image 68 for input to the trained model as the input image 66 to the trained model 62b, and acquire discrimination information 65b of the subject P as the output result. As a result, the trained model 62b uses the estimated image 68 for input to the trained model in which the shoulder line 97 of the subject P is estimated as the input image 66, and therefore the accuracy of the discrimination information 65b as the output result can be improved compared to when the optical image 64 captured by the optical imaging unit 40 is used as the input image 66.

[0066] Furthermore, in this embodiment, as described above, the discrimination information acquisition unit 72 is configured to acquire, using the trained model 62c, discrimination information 65c for discriminating the state of the relative position of the lung field, as a predetermined part of the subject P, with respect to the scapula, as another part, indicating whether the lung field and scapula of the subject P overlap in the input image 66. This makes it possible to acquire the discrimination information 65c indicating whether the lung field and scapula of the subject P overlap in the input image 66. Therefore, if the discrimination information 65c determines that the lung field and scapula of the subject P do not overlap, the radiologist can irradiate X-rays to capture the X-ray image 63, and if the discrimination information 65c determines that the lung field and scapula of the subject P overlap, the radiologist can change the posture of the subject P without irradiating X-rays. As a result, it is possible to more appropriately prevent the occurrence of imaging errors in the X-ray image 63 and an increase in the radiation exposure due to re-imaging.

[0067] Furthermore, in this embodiment, as described above, the optical imaging unit 40 is attached to the collimator 12 that defines the X-ray irradiation field 14 included in the X-ray irradiation unit 10. This allows the optical imaging unit 40 to capture the optical image 64 from approximately the same direction as the imaging direction of the X-ray image 63, thereby further improving the accuracy of the discrimination information 65 that is the output result.

[0068] Furthermore, in this embodiment, as described above, the notification unit 80 includes the display unit 81 that displays information based on the discrimination information 65a to 65c acquired by the discrimination information acquisition unit 72. This allows the radiological technologist to easily visually recognize the discrimination information 65a to 65c, thereby more appropriately suppressing the occurrence of imaging errors in the X-ray image 63.

[0069] [Variations] The embodiments disclosed herein should be considered to be illustrative and not restrictive in all respects. The scope of the present invention is defined by the claims rather than the above description of the embodiments, and further includes all modifications (variations) within the meaning and scope of the claims.

[0070] For example, in the above embodiment, the control unit 70 is configured to acquire the discrimination information 65a, 65b, and 65c. However, the present invention is not limited to this. For example, the control unit 70 may be configured to acquire the discrimination information 65a and 65b but not acquire the discrimination information 65c. Alternatively, the control unit 70 may be configured to acquire the discrimination information 65a and 65c but not acquire the discrimination information 65b. Alternatively, the control unit 70 may be configured to acquire the discrimination information 65b and 65c but not acquire the discrimination information 65a. Alternatively, the control unit 70 may be configured to acquire the discrimination information 65a but not acquire the discrimination information 65b and 65c. Alternatively, the control unit 70 may be configured to acquire the discrimination information 65b but not acquire the discrimination information 65a and 65c. Alternatively, the control unit 70 may be configured to acquire the discrimination information 65b but not acquire the discrimination information 65a and 65c. Alternatively, the control unit 70 may be configured to acquire the discrimination information 65c but not acquire the discrimination information 65a and 65b.

[0071] In the above embodiment regarding the acquisition of the discrimination information 65c, an example was shown in which the training data set 90c including the optical image 64 and the label 94 of the determination result of the X-ray image 63 is created, but the present invention is not limited to this. As in Modification 1 shown in Fig. 10 , the training data set 90d may include the optical image 64 and the label 94d of the determination result of the optical image 64.

[0072] In this case, for example, a plurality of optical images 64 including the subject captured from approximately the same direction as the imaging direction of the X-ray image 63 are acquired. Whether or not the subject's arm P5 is sufficiently internally rotated is determined for the acquired optical images 64. The determination result of whether or not the subject's arm P5 is sufficiently internally rotated in the optical images 64 is acquired as a label 94d of either “internal rotation present” or “internal rotation absent.” In this manner, a training data set 90d including the optical images 64 and the label 94d of the determination result of the optical images 64 is created. The trained model 62 is created by performing machine learning using the created plurality of training data sets 90d as training data. The created trained model 62 is stored in the storage unit 60. The trained model 62 receives input images 66, which are optical images 64 captured by the optical imaging unit 40, and outputs discrimination information 65 of the subject P in the input images 66. The output discrimination information 65 is information indicating whether or not the subject P's arm is internally rotated in the input images 66.

[0073] The discrimination information acquisition unit 72 is configured to use the trained model 62 to input the optical image 64 captured by the optical imaging unit 40 as an input image 66 and acquire discrimination information 65 of the subject P as the output result.

[0074] The notification control unit 73 is configured to cause the notification unit 80 to issue a notification based on the discrimination information of the subject P, which is the acquired output result. When the discrimination information 65 of the subject P is "internal rotation present", the notification control unit 73 is configured to, for example, cause the display unit 81 of the notification unit 80 to display text that reads "internal rotation present". When the discrimination information 65 of the subject P is "internal rotation absent", the notification control unit 73 is configured to, for example, cause the display unit 81 of the notification unit 80 to display text that reads "internal rotation absent".

[0075] In the above-described first modification, the discrimination information acquisition unit 72 is configured to acquire discrimination information 65 output from the trained model 62, which discriminates the state of internal rotation of the arm of the subject P, and serves as an index of the degree of overlap between the lung field and the scapula of the subject P. This allows the radiologist to capture the X-ray image 63 based on the acquired discrimination information 65. As a result, it is possible to prevent the lung field from being insufficiently captured due to the lung field and the scapula overlapping in the acquired X-ray image 63, and therefore, it is possible to accurately and appropriately prevent the occurrence of imaging errors in the X-ray image 63.

[0076] Furthermore, in the above-described first modification, the discrimination information acquisition unit 72 is configured to use the trained model 62 to acquire state information of arm internal rotation as an indicator of the subject P, which indicates whether the arm of the subject P is rotated inward toward the body in the input image 66. This makes it possible to acquire discrimination information indicating whether the arm of the subject P is rotated inward toward the body in the input image 66. Therefore, if the discrimination information 65 determines that the arm of the subject P is internally rotated, the radiologist can irradiate X-rays to capture the X-ray image 63, and if the discrimination information 65 determines that the arm of the subject P is not internally rotated, the radiologist can change the posture of the subject P without irradiating X-rays. As a result, it is possible to more appropriately prevent the occurrence of imaging errors in the X-ray image 63.

[0077] Furthermore, in the above embodiment regarding the acquisition of discrimination information 65c, an example was described in which extraction processing or estimation processing was not performed on optical images 64 of image set 93c in the creation of the trained model 62, and an extracted image or estimated image was not generated by the image processing unit 71 based on optical images 64 captured by the optical imaging unit 40. However, the present invention is not limited to this. For example, as in Modification 2 shown in FIG. 11 , processing for estimating the internal rotation state of arm P5 of subject P may be performed on optical images 64 of image set 93d in the creation of the trained model 62, and the image processing unit 71 may generate an estimated image 68 for trained model input in which the internal rotation state of subject P's arm included in optical images 64 captured by the optical imaging unit 40 is estimated. That is, the control unit 70 may be configured to generate an estimated image 68 for trained model input in which the internal rotation state of subject P's arm included in optical images 64 captured by the optical imaging unit 40 is estimated, input the estimated image 68 for trained model input as an input image 66 to the trained model 62, and acquire discrimination information 65 of subject P as an output result. As a result, the trained model 62 uses an estimated image 68 for input to the trained model, in which the internal rotation state of the subject P's arm is estimated, as the input image 66, and therefore the accuracy of the discrimination information, which is the output result, can be improved compared to when the optical image 64 captured by the optical imaging unit 40 is used as the input image 66.

[0078] Furthermore, in the above embodiment, an example was described in which the trained models 62a and 62b were created by performing extraction processing or estimation processing on the optical images 64 of the image set 93, and the image processing unit 71 generated extracted images 67 for input to the trained models or estimated images 68 for input to the trained models based on the optical images 64 captured by the optical imaging unit 40. However, the present invention is not limited to this. For example, in the above embodiment, the trained models 62a and 62b may be created by using a training dataset 90 including the optical images 64 of the image sets 93a and 93b without performing extraction processing or estimation processing on the optical images 64 and labels 94a and 94b of the determination results of the X-ray images 63. Furthermore, in the above embodiment, the control unit 70 may be configured to input the optical images 64 captured by the optical imaging unit 40 as the input images 66 using the trained models 62a and 62b, and obtain the discrimination information 65a and 65b of the subject P as the output results.

[0079] Furthermore, in the above embodiment, an example was shown in which the estimated image for creating a trained model 92 and the estimated image for inputting a trained model 68 are generated, in which the center line 96 based on the spine and the shoulder line 97 of the subject P are shown, but the present invention is not limited to this. For example, the estimated image for creating a trained model 92 and the estimated image for inputting a trained model 68 may be generated, in which the center line 96 based on the spine and the shoulder line 97 of the subject P are superimposed on the optical image 64.

[0080] In the above embodiment, the X-ray imaging apparatus 100 is used for X-ray imaging of the chest, but the present invention is not limited to this. For example, the X-ray imaging apparatus 100 may be used for X-ray imaging of a body part other than the chest.

[0081] In the above embodiment, the X-ray imaging device 100 is configured to perform imaging of the subject P in an upright position (standing position), but the present invention is not limited to this. For example, the X-ray imaging device 100 may be configured to perform imaging of the subject P in a lying position (supine position).

[0082] In the above embodiment, the optical imaging unit 40 constantly captures the subject P when capturing the X-ray image 63, but the present invention is not limited to this. For example, the optical imaging unit 40 may be configured to capture the subject P at a predetermined timing.

[0083] [Aspect] It will be appreciated by those skilled in the art that the exemplary embodiments described above are examples of the following aspects.

[0084] (Item 1) an X-ray irradiation unit including an X-ray tube; a detector that detects X-rays irradiated from the X-ray irradiation unit; an image generating unit that generates an X-ray image based on the X-rays detected by the detector; an optical imaging unit that captures an optical image in the direction of the subject and the detector from the X-ray irradiation unit side; a storage unit that stores a trained model that outputs discrimination information that discriminates a state regarding an imaging range of a predetermined part of the subject or a relative position of the subject relative to other parts, for an input image based on the optical image including the subject captured by the optical imaging unit; and a control unit that acquires the discrimination information using the trained model; an alarm unit that issues an alarm based on the discrimination information acquired by the control unit.

[0085] (Item 2) the trained model receives the input image based on the optical image captured by the optical imaging unit from approximately the same direction as the imaging direction of the X-ray image, and outputs the discrimination information of the subject in the input image; Item 1. The X-ray imaging apparatus according to item 1, wherein the control unit is configured to acquire the discrimination information in the input image using the trained model before the X-rays are irradiated to acquire the X-ray image.

[0086] (Item 3) The control unit of the X-ray imaging device described in item 1 or 2 is configured to acquire discrimination information output from the trained model that discriminates the state of the imaging range of the apex of the lung of the subject, discrimination information that discriminates the state of the relative position of the apex of the lung of the subject with respect to the clavicle, discrimination information that discriminates the state of the relative position of the lung field of the subject with respect to the scapula, or discrimination information that discriminates the state of internal rotation of the arm of the subject, which is an indicator of the degree of overlap between the lung field of the subject and the scapula.

[0087] (Item 4) the X-ray irradiation unit includes a collimator that defines an X-ray irradiation field and a collimator lamp that makes the X-ray irradiation field visible; The control unit is configured to use the trained model to acquire discrimination information for discriminating the state of the imaging range of the apical part of the lung as the specified part of the subject, which indicates whether or not the apical part of the lung of the subject is included in the region of the X-ray irradiation field based on the irradiation light from the collimator lamp in the input image.

[0088] (Item 5) Item 5. The X-ray imaging device according to item 4, wherein the control unit is configured to generate an extracted image in which the contour of the subject and the X-ray irradiation field contained in the optical image captured by the optical imaging unit are extracted, input the extracted image as the input image to the trained model, and obtain the discrimination information of the subject as the output result.

[0089] (Item 6) Item 3. The X-ray imaging device according to item 3, wherein the control unit is configured to use the trained model to acquire discrimination information for discriminating the state of the relative position of the apex of the lung as the specified part of the subject relative to the clavicle as the other part, indicating whether the apex of the lung and the clavicle of the subject overlap in the input image.

[0090] (Item 7) Item 7. The X-ray imaging apparatus according to item 6, wherein the control unit is configured to generate an estimated image in which the shoulder line of the subject included in the optical image captured by the optical imaging unit is estimated, input the estimated image as the input image to the trained model, and obtain the discrimination information of the subject as the output result.

[0091] (Item 8) The control unit is configured to use the trained model to acquire status information regarding the relative position of the lung field, which is the specified part of the subject, relative to the scapula, which is the other part, using the trained model to indicate whether the lung field and scapula of the subject overlap in the input image.

[0092] (Item 9) Item 9. The X-ray imaging apparatus according to item 8, wherein the control unit is configured to generate an estimated image that estimates the internal rotation state of the subject's arm contained in the optical image captured by the optical imaging unit, input the estimated image as the input image to the trained model, and obtain the discrimination information of the subject as the output result.

[0093] (Item 10) Item 4. The X-ray imaging device according to item 3, wherein the control unit is configured to use the trained model to acquire state information of the internal rotation of the arm as the specified part of the subject, which indicates whether the arm of the subject is rotated inward toward the body in the input image.

[0094] (Item 11) 11. The X-ray imaging apparatus according to any one of items 1 to 10, wherein the optical imaging unit is attached to a collimator that defines an X-ray irradiation field included in the X-ray irradiation unit.

[0095] (Item 12) 12. The X-ray imaging apparatus according to any one of items 1 to 11, wherein the notification unit includes a display unit that displays information based on the discrimination information acquired by the control unit. [Explanation of symbols]

[0096] 10 X-ray irradiation section 11 X-ray tube 12 Collimator 13 Collimator lamp 14 X-ray fields 30 detectors 40 Optical imaging unit 50 Image generation unit 60 Storage section 62, 62a, 62b, 62c Pre-trained models 63 X-ray image 64 Optical Images 65, 65a, 65b, 65c Distinguishing information 66 input images 67 Extracted images for input to trained model 68 Estimated images for trained model input 70 Control Unit 80 Information Department 81 Display section 95 Contour 97 Shoulder line 100 X-ray equipment P Subject

Claims

1. an X-ray irradiation unit including an X-ray tube; a detector for detecting X-rays irradiated from the X-ray irradiation unit; an image generating unit that generates an X-ray image based on the X-rays detected by the detector; an optical imaging unit that captures an optical image in a direction from the X-ray irradiation unit side toward the subject and the detector; a storage unit that stores a trained model that outputs discrimination information that discriminates a state regarding an imaging range of a predetermined part of the subject or a relative position of the subject relative to other parts, for an input image based on the optical image including the subject captured by the optical imaging unit; and a control unit that acquires the discrimination information using the trained model; a notification unit that issues a notification based on the discrimination information acquired by the control unit, The control unit is configured to acquire the discrimination information output from the trained model, which discriminates the state of the imaging range of the apex of the lung of the subject, the discrimination information discriminates the state of the relative position of the apex of the lung of the subject with respect to the clavicle, the discrimination information discriminates the state of the relative position of the lung field of the subject with respect to the scapula, or the discrimination information discriminates the state of internal rotation of the arm of the subject, which is an indicator of the degree of overlap between the lung field of the subject and the scapula.

2. The trained model receives the input image based on the optical image captured by the optical imaging unit from approximately the same direction as the imaging direction of the X-ray image, and outputs the discrimination information of the subject in the input image; The X-ray imaging apparatus according to claim 1 , wherein the control unit is configured to acquire the discrimination information in the input image using the trained model before the X-rays are irradiated to acquire the X-ray image.

3. the X-ray irradiation unit includes a collimator that defines an X-ray irradiation field and a collimator lamp that makes the X-ray irradiation field visible; 3. The X-ray imaging device according to claim 1, wherein the control unit is configured to acquire, using the trained model, the discrimination information for discriminating the state of the imaging range of the apical part of the lung as the specified part of the subject, indicating whether or not the apical part of the lung of the subject is included in the region of the X-ray irradiation field based on the irradiation light from the collimator lamp in the input image.

4. The X-ray imaging device of claim 3, wherein the control unit is configured to generate an extracted image in which the contour of the subject and the X-ray irradiation field contained in the optical image captured by the optical imaging unit are extracted, input the extracted image as the input image to the trained model, and obtain the discrimination information of the subject as the output result.

5. 3. The X-ray imaging device according to claim 1, wherein the control unit is configured to acquire, using the trained model, the discrimination information for discriminating a state regarding the relative position of the apex of the lung as the specified part of the subject relative to the clavicle as the other part, indicating whether the apex of the lung and the clavicle of the subject overlap in the input image.

6. The X-ray imaging device according to claim 5, wherein the control unit is configured to generate an estimated image in which the shoulder line of the subject contained in the optical image captured by the optical imaging unit is estimated, input the estimated image as the input image to the trained model, and obtain the discrimination information of the subject as the output result.

7. 3. The X-ray imaging device according to claim 1, wherein the control unit is configured to acquire, using the trained model, the discrimination information for discriminating a state regarding the relative position of the lung field, which is the specified part of the subject, with respect to the scapula, which is another part, indicating whether the lung field and scapula of the subject overlap in the input image.

8. The X-ray imaging device according to claim 7, wherein the control unit is configured to generate an estimated image that estimates the internal rotation state of the subject's arm contained in the optical image captured by the optical imaging unit, input the estimated image as the input image to the trained model, and obtain the discrimination information of the subject as the output result.

9. 3. The X-ray imaging device according to claim 1, wherein the control unit is configured to use the trained model to acquire the discrimination information for discriminating the state of internal rotation of the arm as the indicator, which indicates whether the arm of the subject is rotated inward toward the body in the input image.

10. 10. The X-ray imaging apparatus according to claim 1, wherein the optical imaging unit is attached to a collimator that defines an X-ray irradiation field included in the X-ray irradiation unit.

11. 11. The X-ray imaging apparatus according to claim 1, wherein the notification unit includes a display unit that displays information based on the discrimination information acquired by the control unit.

Images